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Stable random fields and geometry

Shigeo Takenaka (2010)

Banach Center Publications

Let (M,d) be a metric space with a fixed origin O. P. Lévy defined Brownian motion X(a); a ∈ M as 0. X(O) = 0. 1. X(a) - X(b) is subject to the Gaussian law of mean 0 and variance d(a,b). He gave an example for M = S m , the m-dimensional sphere. Let Y ( B ) ; B ( S m ) be the Gaussian random measure on S m , that is, 1. Y(B) is a centered Gaussian system, 2. the variance of Y(B) is equal of μ(B), where μ is the uniform measure on S m , 3. if B₁ ∩ B₂ = ∅ then Y(B₁) is independent of Y(B₂). 4. for B i , i = 1,2,..., B i B j = , i ≠ j, we...

Sur la régularité du profil isopérimétrique des surfaces riemanniennes compactes

Pierre Pansu (1998)

Annales de l'institut Fourier

On montre que, sur une surface riemannienne compacte, le profil isopérimétrique admet un développement limité à l’ordre 3 en 0 . Lorsque la métrique est analytique, le profil est semi-analytique. Il existe des métriques lisses sur la 2 -sphère dont le profil n’est pas de classe C 1 au voisinage de 0 .

The mean curvature of a Lipschitz continuous manifold

Elisabetta Barozzi, Eduardo Gonzalez, Umberto Massari (2003)

Atti della Accademia Nazionale dei Lincei. Classe di Scienze Fisiche, Matematiche e Naturali. Rendiconti Lincei. Matematica e Applicazioni

The paper is devoted to the description of some connections between the mean curvature in a distributional sense and the mean curvature in a variational sense for several classes of non-smooth sets. We prove the existence of the mean curvature measure of E by using a technique introduced in [4] and based on the concept of variational mean curvature. More precisely we prove that, under suitable assumptions, the mean curvature measure of E is the weak limit (in the sense of distributions) of the mean...

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